In this work, we present a comprehensive evaluation of stochastic multi-site, multi-variate weather generator at the scale entire Germany and parts neighbouring countries covering major German river basins Elbe, Upper Danube, Rhine, Weser Ems with total area approximately 580,000 km2. The regional generator, which is based on first-order auto-regressive model, setup using 53-year long daily obs...

Abstract This article discusses the aspect of modeling weather conditions in marine environment for implementation offshore wind farm domain. It is clear that harsh sea influence many characteristics any installation. The accessibility to infrastructure, maintenance procedures, failure ratios components, energy provision levels, or utilization vessels—are examples weather-related issues connect...

In order to make urban climate predictions at the city-scale and on long term experiment accessible to communities such as building engineers or urban planners, a method to calculate meteorological forcing for surface models is presented. This method is computed with weather data files from an operational measurement station outside of the city. The model, called the spatialized urban weather g...

Two important recent trends in nlg are (i) probabilistic techniques and (ii) comprehensive approaches that move away from traditional strictly modular and sequential models. This paper reports experiments in which pcru — a generation framework that combines probabilistic generation methodology with a comprehensive model of the generation space — was used to semi-automatically create five differ...

Weather generators (WGs) are one of the major downscaling tools for assessing regional climate change impacts. However, some deficiencies in performance WGs have limited their usage. This paper presents a method correcting low-frequency variability (LFV) precipitation improved weather generator (IWG) model. The is based on bias correction monthly distribution generated daily series. modified mo...

This paper presents a comparative study between two control methods in order to optimize the efficiency of the solar generator. The simulation had been established by using Matlab/Simulink software to apply the MPPT P&O and MPPT Fuzzy controls on this system which is supplied through a Boost converter.Many results have been illustrated under standard and then variable weather conditions such as...

Two important recent trends in NLG are (i) probabilistic techniques and (ii) comprehensive approaches that move away from traditional strictly modular and sequential models. This paper reports experiments in which pCRU — a generation framework that combines probabilistic generation methodology with a comprehensive model of the generation space — was used to semi-automatically create five differ...